Jim Bugwadia

Jim Bugwadia

Jim Bugwadia has 25+ years experience building and leading effective teams, and has created software that powers communications systems around the world.

Jim was among the original architects and business leaders within Cisco’s cloud automation practice, where he helped grow revenues to over $250M. During Jim’s tenure, IDC recognized the practice as #1 in global cloud services.

Prior to his work at Cisco, Jim led engineering teams at startups including Pano Logic, a desktop virtualization startup recognized for its innovative design by Wired magazine; Trapeze Networks, a wireless pioneer; and Jetstream Communications, a telecom equipment manufacturer. Jim started his career developing C++ software at Motorola for cellular network infrastructure where his team launched the world’s first cellular telephony that used code division multiplexing to optimize radio frequency usage.

Jim’s passion is to simplify the use of complex systems by providing well designed products that drive mass adoption of new technologies. As software has become mission critical to all businesses, Jim and his co-founders started Nirmata to help enterprises automate the delivery and management of applications. Jim currently develops software in Java, Golang, and Javascript, and is a Certified Kubernetes Administrator who actively participates in Nirmata’s full product lifecycle.

Over the course of his career, Jim has logged over $1.3B in revenue, 6 patent filings, 8 major product launches, and 29 years experience coding.

Jim holds a bachelor’s degree in engineering from Chicago State University and a master’s degree in computer science from the University of Illinois at Chicago.

Virtual Kubernetes Clusters on Amazon EKS

Lovelace Room

Kubernetes namespaces are defined as virtual clusters. This sounds promising, but in reality namespaces are seldom used to the full potential. In this talk, we will discuss how when properly used namespaces can indeed virtualize the Kubernetes control plane allowing enterprises to fully leverage Kubernetes for resource efficiencies and cost savings. We will use Amazon […]